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SAC
2005
ACM
15 years 3 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
EUROPAR
2005
Springer
15 years 3 months ago
A Detailed Study on Phase Predictors
Most programs are repetitive, meaning that some parts of a program are executed more than once. As a result, a number of phases can be extracted in which each phase exhibits simila...
Frederik Vandeputte, Lieven Eeckhout, Koen De Boss...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 3 months ago
An artificial immune network for multimodal function optimization on dynamic environments
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the population size and by diversity maintenance along the sea...
Fabrício Olivetti de França, Fernand...
HIPEAC
2005
Springer
15 years 3 months ago
Dynamic Code Region (DCR) Based Program Phase Tracking and Prediction for Dynamic Optimizations
Detecting and predicting a program’s execution phases are crucial to dynamic optimizations and dynamically adaptable systems. This paper shows that a phase can be associated with...
Jinpyo Kim, Sreekumar V. Kodakara, Wei-Chung Hsu, ...
SC
2004
ACM
15 years 3 months ago
A Self-Organizing Storage Cluster for Parallel Data-Intensive Applications
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...